Built after the examination, not before it.

Attribution, CRM and reporting, so the commercial team can see which inquiries came from where, and which of them became quotes and purchase orders.

• Attribution from the first inquiry through to the purchase order, not only to the form
• CRM records the commercial team keeps: duplicates merged, required fields defined, stages written down
• Reporting that answers last month without a manual export
• Spend adjusted against what the pipeline did, not against early signals

The material a technical buyer reads before speaking to anyone: specifications, capability statements and the case for your process, together with the identity it is presented in. Written in each market’s language from the start.

• Capability statements and product documentation a buyer can evaluate
• Identity system and the rules for applying it
• Voice and messaging guidelines, written separately in English and Portuguese
• Content system and a first production run: static, motion, video and technical illustration

The site, the search surface, and how your company appears when a buyer or an AI assistant is assembling a shortlist. Paid media on Google, LinkedIn and Meta where the examination shows it is warranted.

• Product and capability pages that answer a technical buyer’s first questions
• Technical SEO and site performance, measured on the live pages
• How the company is described where AI assistants look for suppliers
• Paid media on Google, LinkedIn and Meta, reported against inquiries

Who you sell to, what the offer is, and how it is positioned against the suppliers you are compared with. Positioning is written once and approved by you, and the other three disciplines work from it.

• Positioning written for a technical buyer and the committee around them
• Research on the buyers and the competing suppliers in each market
• A written plan the other three disciplines execute from
• Quarterly review against the inquiries and orders that actually came in

Some engagements go past campaigns and into the operation itself. This is that work: agents and internal tools built into how your operation already runs, using the same engineering that runs ours. When the answer is to build nothing, we will say so.

• Process audit: every step of one workflow mapped with the time it actually costs, measured rather than estimated
• A written recommendation that includes the option of not building anything
• Custom agents against your own data, with the prompts and the evaluation set handed over, not hidden
• Workflow automation between the tools you already pay for, rather than a new tool to adopt